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Adita Kulkarni
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2020 – today
- 2025
- [c18]Adita Kulkarni:
Cyber Social Threats: A Data-centric AI Perspective. ACM Southeast Regional Conference 2025: 85-94 - 2024
- [c17]Ajay Bhattacharyya
, Adita Kulkarni
Machine Learning-Based Detection and Categorization of Malicious Accounts on Social Media. HCI (20) 2024: 328-337 - 2023
- [c16]Matthew Morgan
Platform-agnostic Model to Detect Sinophobia on Social Media. ACM Southeast Regional Conference 2023: 149-153 - [c15]Matthew Morgan
Analyzing User Communication on Mainstream and Alternative Social Media Platforms Using Natural Language Processing: A Case Study on the COVID-19 Pandemic. HCI (16) 2023: 340-354 - [c14]Eric Owusu, Adita Kulkarni, Brittani S. Washington:
Analyzing Students' Perspective for Using Computer-Mediated Communication Tools for Group Collaboration in Higher Education. HCI (30) 2023: 349-365 - [c13]Douglas Cuba, Adita Kulkarni, Antônio A. de A. Rocha:
Predicting Customer Quality of Service for a Large Fixed Broadband Service Provider. IWCMC 2023: 669-674 - [c12]Venicius Gonçalves Da Rocha Junior, Adita Kulkarni, Antônio A. de A. Rocha:
Classifying Customer Complaints of a Large Fixed Broadband Service Provider using Machine Learning. IWCMC 2023: 1334-1339 - 2021
- [c11]Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh, Antônio A. de A. Rocha:
Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service. ADHOCNETS/TRIDENTCOM 2021: 161-172 - [c10]Adita Kulkarni, Anand Seetharam:
QoE-aware Video Streaming in Heterogeneous Cellular Networks. CCNC 2021: 1-2 - [c9]Raushan Raj, Adita Kulkarni, Anand Seetharam, Arti Ramesh:
Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields. CCNC 2021: 1-6 - [c8]Adita Kulkarni, Anand Seetharam:
QoE-aware Assignment and Scheduling of Video Streams in Heterogeneous Cellular Networks. INFOCOM Workshops 2021: 1-6 - 2020
- [j2]Adita Kulkarni
DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. IEEE Trans. Veh. Technol. 69(1): 443-456 (2020) - [c7]Adita Kulkarni, Anand Seetharam:
Model-Based and Machine Learning Approaches for Designing Caching and Routing Algorithms. ADHOCNETS 2020: 16-28 - [c6]Gissella Bejarano
DeepER: A Deep Learning based Emergency Resolution Time Prediction System. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 490-497 - [i1]Adita Kulkarni, Anand Seetharam:
Model and Machine Learning based Caching and Routing Algorithms for Cache-enabled Networks. CoRR abs/2004.06787 (2020)
2010 – 2019
- 2019
- [c5]Adita Kulkarni, Anand Seetharam:
QuickR: A Novel Routing Strategy for Wireless Mobile Information-centric Networks. IPCCC 2019: 1-8 - [c4]Adita Kulkarni, Anand Seetharam, Arti Ramesh:
DeepFit: deep learning based fitness center equipment use modeling and prediction. MobiQuitous 2019: 394-403 - [c3]Gissella Bejarano
SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction. BuildSys 2019: 233-242 - 2018
- [j1]Bitan Banerjee
Greedy Caching: An optimized content placement strategy for information-centric networks. Comput. Networks 140: 78-91 (2018) - [c2]Adita Kulkarni, Anand Seetharam:
Evaluating the benefits of caching and stateless forwarding in mobile information-centric networks. ANCS 2018: 167-168 - [c1]Adita Kulkarni, Anand Seetharam:
Exploiting Correlations in Request Streams: A Case for Hybrid Caching in Cache Networks. LCN 2018: 562-570
Coauthor Index
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last updated on 2025-05-12 21:43 CEST by the dblp team
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